Classification of Horse Gaits Using FCM-Based Neuro-Fuzzy Classifier from the Transformed Data Information of Inertial Sensor

In this study, we classify four horse gaits (walk, sitting trot, rising trot, canter) of three breeds of horse (Jeju, Warmblood, and Thoroughbred) using a neuro-fuzzy classifier (NFC) of the Takagi-Sugeno-Kang (TSK) type from data information transformed by a wavelet packet (WP). The design of the N...

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Auteurs principaux: Jae-Neung Lee, Myung-Won Lee, Yeong-Hyeon Byeon, Won-Sik Lee, Keun-Chang Kwak
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2016-05-01
Collection:Sensors
Sujets:
classification of horse gaits
neuro-fuzzy classifier
fuzzy c-means clustering
inertial sensor
horse riding coaching
Accès en ligne:http://www.mdpi.com/1424-8220/16/5/664
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